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Startups and Pendulum Swings Through Ideas, Time, Fame, and Money

Marc Andreessen and Balaji Srinivasan

Marc Andreessen and Balaji Srinivasan discuss the optimal types of startups to work at, the funding environment, and how to decide when to IPO.

Airspace as the Next Internet-Like Platform

Sonal Chokshi, Eli Dourado, Grant Jordan, Jonathan Downey, and Samuel Hammond

What are the new business use cases for drones? How do we calculate the risk of innovation on a platform made up of atoms versus bites?

All about Network Effects

Anu Hariharan

What is a network effect? How do we untangle the nuances of ‘network effects’ with ‘marketplaces’ and ‘platforms’? What’s the difference between network effects, virality, supply-side economies of scale?

How to Be Original and Make Big Ideas Happen

Adam Grant and Sonal Chokshi

From Aaron Sorkin to Steve Jobs to Meredith Perry and Elon Musk, "original" thinkers often exhibit behaviors and traits that are counterintuitive.

Things Come Together — Truths about Tech in Africa

Nkiru Balonwu, Alan Knott-Craig, Nanjira Sambuli, and Sonal Chokshi

This episode explores the nuances of what connectivity in Africa means. How does this change app design? What does it mean for businesses in Africa trying to compete with Silicon Valley?

Artificial Intelligence and the ‘Space of Possible Minds’

Azeem Azhar, Murray Shanahan, Tom Standage, and Sonal Chokshi

The past, present, and future of AI, and how it fits with machine learning and deep learning.

Beyond Lean Startups

Eric Ries, Sonal Chokshi, and Michael Copeland

Eric Ries pioneered the lean startup movement. What began as a scientific approach to creating and managing startups has become a worldwide movement.

Holy Non Sequiturs, Batman! What Disruption Theory Is and Isn’t

Sonal Chokshi and Michael Raynor

The concept of disruption theory has been misunderstood and mangled since its inception. Here's what we're missing about what disruption theory really says.

It’s Not What You Say, It’s How You Say It — When Language Meets Big Data

Kieran Snyder

What can we learn when we apply machine learning and natural language processing techniques to text?

Startups as Science Experiments — Can VC Disrupt Academia, and Vice Versa?

Marc Andreessen and Vijay Pande

What's the future of peer-to-peer collaborations and startups-as-"science experiments"? Can venture capital disrupt academia… and vice versa?